Nanlin Jin

24 papers and 441 indexed citations i.

About

Nanlin Jin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Nanlin Jin has authored 24 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 5 papers in Management Science and Operations Research. Recurrent topics in Nanlin Jin’s work include Anomaly Detection Techniques and Applications (5 papers), Adaptation to Concept Drift in Data Streams (5 papers) and Machine Learning and Data Classification (4 papers). Nanlin Jin is often cited by papers focused on Anomaly Detection Techniques and Applications (5 papers), Adaptation to Concept Drift in Data Streams (5 papers) and Machine Learning and Data Classification (4 papers). Nanlin Jin collaborates with scholars based in United Kingdom, China and Saudi Arabia. Nanlin Jin's co-authors include Peter Flach, Reem Alotaibi, Aihua Zhang, Zhiwei Gao, Mark S. Reed, Claire H. Quinn, Klaus Hubacek, Tim Burt, Christina Prell and Jan Sendzimir and has published in prestigious journals such as Journal of Applied Ecology, Renewable Energy and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Nanlin Jin i

Fields of papers citing papers by Nanlin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nanlin Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nanlin Jin. The network helps show where Nanlin Jin may publish in the future.

Countries citing papers authored by Nanlin Jin

Since Specialization
Citations

This map shows the geographic impact of Nanlin Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nanlin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanlin Jin more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025